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Research on a Location Method for Complex Voltage Sag Sources Based on Random Matrix Theory

机译:基于随机矩阵理论的复电压索源定位方法研究

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The precise location of voltage sag sources plays an important role in formulating a voltage sag governance plan and clarifying the responsibility for the accident. The traditional location method of voltage sag sources is difficult to establish a precise mathematical model and locate the complex voltage sag sources accurately in the complex distribution network. In order to solve these problems, a location method for complex voltage sag sources based on random matrix theory is proposed in this paper. Firstly, the augmented matrix is constructed based on the influence factor data and the operation state data of the distribution network as the data source matrix, and the statistical characteristics of each data are analyzed by using the random matrix theory to determine the suspicious area of voltage sag source. Then, the disturbance signal of each node in the suspicious area of voltage sag source is analyzed by using the atomic algorithm and disturbance active power method, and it can determine the location of each disturbance source in the complex voltage sag event and the cause of voltage sag at each node. Compared with the existing model-based methods, the proposed method in this paper is a data-driven approach, which does not need the physical model and topology information. Furthermore, it can reduce the amount of data and improve the analysis efficiency on the basis of determining the suspicious area of the voltage sag source. Finally, the examples are given to show that the proposed method can accurately locate the disturbance sources in complex voltage sag events.
机译:电压凹槽源的精确定位在制定电压SAG治理计划并澄清事故的责任方面起着重要作用。传统的电压SAG源的定位方法难以建立精确的数学模型,并在复杂的分配网络中精确地定位复电压SAG源。为了解决这些问题,本文提出了一种基于随机矩阵理论的复合电压SAG源的位置方法。首先,基于影响因子数据和分发网络的操作状态数据作为数据源矩阵构造增强矩阵,并且通过使用随机矩阵理论来分析每个数据的统计特征来确定可疑电压的可疑区域落下来源。然后,通过使用原子算法和干扰有源电力方法分析电压SAG源的可疑区域中的每个节点的干扰信号,并且可以确定复杂电压SAG事件中每个干扰源的位置和电压的原因每个节点凹陷。与现有的基于模型的方法相比,本文中所提出的方法是一种数据驱动方法,不需要物理模型和拓扑信息。此外,它可以基于确定电压凹槽源的可疑区域来减少数据量并提高分析效率。最后,给出了实施例表明该方法可以准确地定位在复电压SAG事件中的干扰源。

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